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########## Install NGINX ##############

# Install software-properties-common package to give us add-apt-repository package
sudo apt-get install -y software-properties-common

# Install latest nginx version from community maintained ppa
sudo add-apt-repository ppa:nginx/stable

# Update packages after adding ppa

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from scipy.misc import imread, imresize

from keras.layers import Input, Dense, Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D, Dropout, Flatten, merge, Reshape, Activation
from keras.models import Model
from keras.regularizers import l2
from keras.optimizers import SGD
from googlenet_custom_layers import PoolHelper,LRN


def create_googlenet(weights_path=None):

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Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

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# Run me with:
#
#     $ nginx -p /path/to/this/file/ -c nginx.conf
#
# All requests are then routed to authenticated user's index, so
#
#    GET http://user:password@localhost/_search?q=*
#
# is rewritten to:
#

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events {
	worker_connections  1024;
}

http {
	
	upstream elasticsearch {
		server 127.0.0.1:9200;
	}
	upstream kibana {

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FFmpeg and libav's playbook: Advanced encoding options with hardware-based acceleration, NVIDIA's NVENC and Intel's VAAPI-based encoder.

Hello guys,

Continuing from this guide to building ffmpeg and libav with NVENC and VAAPI enabled, this snippet will cover advanced options that you can use with ffmpeg and libav on both NVENC and VAAPI hardware-based encoders.

For ffmpeg:

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/*
 * Read video frame with FFmpeg and convert to OpenCV image
 *
 * Copyright (c) 2016 yohhoy
 */
#include <iostream>
#include <vector>
// FFmpeg
extern "C" {
#include <libavformat/avformat.h>

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#!/bin/bash

# Anh Nguyen <anh.ng8@gmail.com>
# 2016-04-30
# MIT License

# This script takes in images from a folder and make a crossfade video from the images using ffmpeg.
# Make sure you have ffmpeg installed before running.

# The output command looks something like the below, but for as many images as you have in the folder.

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1. Copy m3u8 link

2. Run command

echo "Enter m3u8 link:";read link;echo "Enter output filename:";read filename;ffmpeg -i "$link" -bsf:a aac_adtstoasc -vcodec copy -c copy -crf 50 $filename.mp4